DocumentCode :
2059659
Title :
Review of signal processing techniques for time-varying harmonic decomposition
Author :
Carvalho, T.C.O. ; Duque, C.A. ; Silveira, P.M. ; Mendes, M.A.S. ; Ribeiro, P.F.
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
6
Abstract :
The trend towards the implementation of Smart Grids results in a higher complexity of power signals and their voltage quality implication. Thus the need for more advanced signal processing techniques is required. A number of techniques have been recently developed and proposed in order to analyze the new environment and phenomena. Among these techniques this paper discusses different time-frequency methods used in power systems disturbance analysis. Filter Banks, Sliding-Window Recursive-DFT (SWR-DFT) and Wavelet Packet Transform (WPT) are compared. The methods are discussed based on their advantages and disadvantages. Signals with harmonic and inter-harmonics distortion are used in order to compare performance of the methods related to fundamental frequency variations, fast magnitude oscillations and inter-harmonics. The results presented in this work should assist quality expert to select the appropriate method according to application.
Keywords :
channel bank filters; smart power grids; wavelet transforms; filter banks; harmonic distortion; inter-harmonics distortion; paper discusses different time-frequency methods; power signals; power systems disturbance analysis; signal processing techniques; sliding-window recursive-DFT; smart grids; time-varying harmonic decomposition; wavelet packet transform; Filter banks; Harmonic analysis; Power harmonic filters; Wavelet transforms; Harmonic Distortion; Power Quality; Smart Grids; Time-Frequency Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345341
Filename :
6345341
Link To Document :
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